Congestion Control in TCP/IP Routers Based on Sampled-Data Systems Theory

Lamrabet, Ouarda; Fezazi, Nabil El; Haoussi, Fatima El; Tissir, El Houssaine; Álvarez, Teresa

doi:10.1007/s40313-020-00582-z

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…Penanganan kemacetan ada macam yaitu TCP Congestion Control [4] yang bekerja pada lapisan ke-empat OSI dan Active Queue Management (AQM) [5] yang bekerja pada lapisan ketiga OSI, keduanya mempunyai mekanisme berbeda. AQM diimplementasikan pada intermediate network yang berfungsi untuk penanganan Buffer overflow, dimana penyebab padatnya trafik pada sebuah node dan menjadi masalah dalam pengiriman paket data yang mengakibatkan memburuknya kinerja jaringan [6] yaitu diantaranya pada buffer overflow pada router.…”

Section: Pendahuluanunclassified

Implementasi Active Queue Management pada Jaringan Bottleneck

Fajri

Ratnasari²,

Prabowo³

2023

InComTech

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Teknologi TCP end-to-end congestion control hanya menangani kemacetan jaringan dari suatu host tetapi tidak pada jaringan atau intermediate network, oleh karena itu teknologi Active Queue Management (AQM) dikembangkan untuk mengantisipasi kemacetan didalam jaringan yaitu pada router. AQM dapat mengatasi buffer overflow pada router dan mencegah terjadinya masalah sinkronisasi pada jaringan yang padat, yaitu dengan mendeteksi sebelum terjadi kemacetan jaringan. AQM RED (random early detection) dikembangkan dengan pendekatan heuristik untuk mengantikan kekurangan mekanisme Droptail pada buffer router, sehingga dapat mengatisipasi memburuknya kondisi jaringan yaitu; hilangnya paket yang berlebihan, utilitasasi link yang rendah (low throughput), dan tingginya antrian (delay), dengan demikian kemacetan yang parah (congestion collapse) tidak akan terjadi. Permasalahan ini menarik untuk dipelajari dampak implementasi AQM yang akan dilakukan dalam penelitian ini. Protokol AQM adalah mekanisme pengendali kemacetan yang diterapkan pada lapisan ke-tiga OSI pada peralatan jaringan router, dengan menggunakan simulator NS2 dibuat topologi jaringan bottleneck dan diuji coba dengan skenario trafik. Pada penelitian ini akan diimplementasikan metode AQM RED yang disimulasikan dengan pengiriman paket FTP dengan beberapa skenario trafik. Hasilnya berupa karakteristik jaringan dapat dilihat yaitu; jumlah paket yang ada pada buffer router, lamanya antrian paket pada buffer , dan banyakanya paket yang dibuang, sehingga dapat dianalisa kinerja RED yang merupakan tujuan penelitian ini. Kesimpulan yang didapat menunjukan bahwa RED mempunyai keunggulan dari karakteristik delay yang rendah dibandingkan mekanisme tanpa AQM atau Drop-tail.

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Section: Pendahuluanunclassified

Implementasi Active Queue Management pada Jaringan Bottleneck

Fajri

Ratnasari²,

Prabowo³

2023

InComTech

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“…In internet services, applications and quality of service (QoS) [1] the standard communication protocols such as transmission control protocol (TCP) is the most widely used, therefore, the success of the internet depends on the best design of TCP, but the TCP still represent the bottleneck in throughput of internet network, due to large latency of the network, packet losses in-network, and delay time in-network. So with those problems there in wireless links (Wi-Fi, LTE, 3G, WiMAX) [2]- [5], the TCP tends to send with low rate than the network design allows. Today TCP is considered one of the substantial protocols of the internet protocol (IP) [6], [7] set, it guarantees the error-checked, well-ordered, during movement the packets of information among networks.…”

Section: Introductionmentioning

confidence: 99%

BBO tuned PI controller for the stability of TCP networks

et al. 2023

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The congestion is the most important issue that effects on the performance of data transition over internet networks. One of the important techniques developed is active queue management (AQM) that prepares an efficient congestion control by reducing losing packets, queue size, and energy consumption. Therefore, AQM technique deemed as a base of many congestion control algorithms schemes. This work suggested the using of proportional integral (PI) controller as an AQM and then use an optimized control system such as biogeography-based optimization (BBO) with PI controller as (BBO-PI). The optimal control (BBO-PI) is characterized by access to design and fine-tuning of defining the shapes of the optimal parameters of PI controller. The BBO algorithm was implemented by using the mathematical system model by M-file/Matlab and Simulink. The simulation results showed the best performance for the transmission control protocol (TCP) network when compared the system with using the PI controller and using optimal control (BBO-PI), the ratio of enhancing the system with using of BBO-PI better than using a PI controller only in terms of rising time is 1.11, settling time is 2.85 and overshooting is 85%. Therefore, the proposed method was very fast and required few iterations.

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“…On the other hand, a network may suffer from a delayed input and state in a nonlinear model. Input delay can be compensated in some linear system models as in References 6,11–17, but a real network is usually modeled by a nonlinear system. To this end, some authors have considered input delay and state delay compensation in nonlinear models with the application of restricted‐feedback linearizable systems, 18 time varying input delay systems 19 and dead‐zone input systems 20 .…”

Section: Introductionmentioning

confidence: 99%

Adaptive fractional order predictive sliding mode control for congestion control of wireless access networks

Khoshnevisan

Liu

2022

Intl J Robust & Nonlinear

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This article studies congestion control of wireless access networks. In a wireless access network, it is necessary to design a robust active queue management (RAQM) technique to control congestion occurrence and to make the network robust simultaneously against some issues in the wireless link aspects, such as packet error rate (PER) and fading effects. On the other hand, a network is often described by a nonlinear model, in which the delayed packet drop probability is assumed as the input signal. So in this article, a RAQM technique is proposed based on an adaptive fractional order predictive sliding mode control (AFOPSMC) method, through which the following are achieved: (1) the stability of the nonlinear system with input delay is assured, (2) the congestion occurrence is prevented by controlling the queue measurement to the desired value, (3) the robustness against the external disturbances is achieved, and (4) the input signal obtained by the controller is limited between 0 and 1. In contrast to most recently published papers where input delay is ignored in the system description and input saturation is achieved through designing parameters, this article at first proposes a predictor to eliminate the input delay and then designs a compensated system to deal with the input signal constraint. Furthermore, the chattering phenomena, as a commonly caused issue in the sliding mode control, is eliminated based on the adaptive laws designed for the controller parameters. The theoretical results are validated and compared with some other related protocols through numerical simulations using Simulink and professional network simulator 2 (NS2).

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Congestion Control in TCP/IP Routers Based on Sampled-Data Systems Theory

Cited by 9 publications

References 25 publications

Implementasi Active Queue Management pada Jaringan Bottleneck

Implementasi Active Queue Management pada Jaringan Bottleneck

BBO tuned PI controller for the stability of TCP networks

Adaptive fractional order predictive sliding mode control for congestion control of wireless access networks

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